| Titre : | R 4 data science quick reference : a pocket guide to APIs, libraries, and packages |
| Auteurs : | Thomas Mailund, Auteur |
| Type de document : | texte imprimé |
| Mention d'édition : | Second edition |
| Editeur : | New York : Apress, 2022 |
| ISBN/ISSN/EAN : | 978-1-4842-8779-8 |
| Format : | IX, 232 p. / ill. / 25 cm |
| Note générale : | Index |
| Langues : | Anglais |
| Index. décimale : | 004.43 (Langage de programmation) |
| Tags : | R (Computer program language) Statistics -- Data processing R (Langage de programmation) Statistique -- Informatique |
| Résumé : | In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub. |
| Note de contenu : |
Summary :
1. Introduction 2. Importing Data: readr 3. Representing Tables: tibble 4. Tidy+select 5. Reformatting Tables: tidyr 6. Pipelines: magrittr 7. Functional Programming: purrr 8. Manipulating Data Frames: dplyr 9. Working with Strings: stringr 10. Working with Factors: forcats 11. Working with Dates: lubridate 12. Working with Models: broom and modelr 13. Plotting: ggplot2 14. Conclusions |
Exemplaires (2)
| Cote | Support | Localisation | Section | Disponibilité | Etat_Exemplaire |
|---|---|---|---|---|---|
| 004.43 MAI | Papier | Bibliothèque Centrale | Informatique | Disponible | Consultation sur place |
| 004.43 MAI | Papier | Bibliothèque Centrale | Informatique | Disponible | En bon état |
